ML Engineer (NLP/GenAI)
Chennai, TN, IN, 600 117

Vestas is the world leader in wind technology and a Defining-force in the development of the wind power industry. Vestas’ core business comprises the development, manufacture, sale, marketing and maintenance of Wind Turbines. Come and Join us at Vestas!
Digital Solutions > Digital Development Platform > Autonomous Flows > AI/ML Chapter
At the core of the Data & AI organization, the AI/ML Chapter serves as the capability home for AI/ML, driving craft excellence, skills development and scalable delivery practices across Vestas. With a global footprint spanning India and Denmark, the team partners closely with product owners and engineering teams to build and scale AI/ML solutions embedded in digital products across the value chain.
The chapter focuses on building and scaling AI/ML capabilities for high-value and autonomous flow use cases, providing consistent expertise across product areas, ensuring readiness for emerging paradigms such as LLMs and agentic AI, and enabling scalable delivery through a balanced mix of internal capability development and strategic partnerships. Through strong engineering rigor, data-centricity, and close business collaboration, the team advances AI/ML delivery practices and enables impactful solutions that drive visibility, optimization and innovation across the enterprise.
Responsibilities
As part of the product team, you will collaborate with product owner, ML engineers, application developers and business SMEs to develop and scale GenAI and agent-based capabilities within digital products. This role focuses on hands-on development, learning, and contributing to high-impact AI solutions
- Contribute to the design, development and deployment of GenAI and agentic systems supporting reasoning, planning, and semi-autonomous workflows
- Build and enhance components of GenAI solutions using LLMs, RAG pipelines, prompt engineering and tool integration
- Develop intelligent workflows using techniques such as prompt engineering, context orchestration and function/tool calling
- Integrate GenAI capabilities into enterprise applications using APIs, microservices, and containerized environments
- Collaborate with senior AI engineers to implement scalable, reliable GenAI systems and follow established design patterns and standards
- Participate in end-to-end delivery of GenAI initiatives, contributing to development, testing and deployment
- Continuously learn and adopt best practices in GenAI, NLP, and agentic systems development
Qualifications
Bachelor's or Master's degree in Computer Science, AI Engineering or related field, with 4-6 years of experience in software engineering, data or AI/ML solution development
AI/ML Solutions Experience:
- 2-4 years of experience in AI/ML or NLP-focused solution development with exposure to GenAI systems
- Hands-on experience with LLM ecosystems (e.g., OpenAI, Azure OpenAI, open-source models), including prompt engineering and basic context design
- Practical experience with RAG architecture, embeddings or vector databases
- Experience building and integrating applications using APIs, microservices or containerized environments
- Familiarity with software engineering best practices (version control, testing, CI/CD basics)
- Exposure to agentic workflows, including tool usage, chaining, or multi-step reasoning
- Familiarity with LLM evaluation concepts and basic understanding of LLMOps practices such as monitoring, versioning, and cost awareness
Competencies
LLM Systems Engineering
- Ability to contribute to building scalable and reliable GenAI systems with focus on performance and maintainability
- Understanding of standard design patterns and engineering practices for LLM-based applications
- Familiarity with deploying and integrating GenAI solutions into production environments
GenAI & Agentic Solution Development
- Hands-on capability in developing GenAI and agent-based solutions for structured workflows and assisted decision-making
- Working knowledge of techniques such as RAG, prompt engineering and tool integration
- Ability to implement intelligent workflows combining human-in-the-loop and automated processes under guidance
Foundational AI/ML & Software Engineering
- Solid foundation in ML concepts and software engineering principles for building maintainable systems
- Experience developing and integrating services using APIs, microservices and modern engineering practices
- Proficiency in leveraging AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to improve productivity and code quality
Global Collaboration & Enablement
- Ability to collaborate effectively within distributed teams across geographies
- Strong teamwork skills working with senior engineers and cross-functional stakeholders
- Demonstrates a continuous learning mindset with interest in GenAI, NLP and agentic systems
What We Offer
- Purpose. An opportunity to impact climate change and future of next generations through building AI/ML, GenAI and agentic solutions that power the future of renewable energy and sustainable operations
- Accelerated learning & growth. Join a high-caliber global team of AI/ML engineers, data scientists and GenAI practitioners, with strong focus on continuous learning, knowledge sharing and expanding into agentic autonomous flows
- Global collaboration & strong team culture. Work within a multicultural Denmark-India setup that values trust, collaboration and mutual support to deliver meaningful impact
- Opportunity to shape your role. Play a key role in scaling agentic autonomous flows and high-value AI/ML solutions, with the autonomy to influence direction, approaches, and outcomes
- Supportive and inclusive environment. Thrive in a diverse, inclusive workplace that promotes well-being, work-life balance and enables individuals to bring their full potential to work
- Career growth in a global organization. Be part of a global organization where you can continuously develop your skills, take on new challenges and grow your career
Overall, we offer you the opportunity to make a real impact while growing your career in a global, multicultural environment that fosters continuous learning and development.
Additional Information
The work location is in Chennai, India Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date.
Learn more about Vestas at www.vestas.com and follow us on our social media channels.